A few days ago I was working at the data feed for a Google service called Google Base, previously known as Froogle. It’s an online service that allows sellers to upload a list of products with price and description and lets users search online for products to compare prices, shipping fees, and seller ratings.
for Google Base, PayPal is not a syntactically valid option
The new Google Base accepts a feed in a few different formats. One of the most flexible formats available is RSS 2.0, a popular XML format. The accepted payment type is among the optional information sellers can provide for each product. The following is a snippet of the XML code I submitted to Google. I’m confident that you don’t need to be an XML guru to understand this code:
A few hours after the upload I received a notification that the syntax of my XML feed was not valid. Here is the error message I got:
cvc-enumeration-valid: Value 'PayPal' is not facet-valid with respect to enumeration '[Cash, Check, Cheque, Visa, MasterCard, Discover, AmericanExpress, WireTransfer, GoogleCheckout]'. It must be a value from the enumeration.
Translation in plain English: You specify that your online store accepts payment by Visa, MasterCard, and PayPal. For Google Base, PayPal is not a syntactically valid option, while GoogleCheckout is.
Is this just an oversight? Should we blame the omittance of PayPal on a Google programmer who perhaps forgot to include PayPal (Google Checkout's competition) in the list of payment options?
Or is this a poor implementation of the Google motto “Don’t be evil”?
P.S.: According to this online Google Base Schema (line 419) PayPal is a syntactically valid option for payment, while Google Checkout is not even listed. I guess this is not the Schema used to validate my feed. I would not recommend to check the XML schema if you are not familiar with XML.
Rubius has been developing custom engineering and enterprise software for over 16 years. We develop custom CAD and CAM systems, plugins for Autodesk Altium, Dassault Systemes, Siemens and more. They create solutions using machine learning and computer vision. We also implement VR and AR in manufacturing enterprises.